An Explainable Deep-Clustering Approach to Assess Climate Vulnerability in India

Basu, S., Arora, F., Nath, A., Kumar, K., Dey, L.

In: Mitra, S., Saha, S., Panigrahi, B.K., Sarkar, S., Chaudhury, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2025.

Advisor: Prof. Mahavir Jhawar

Developed two post-quantum secure key management frameworks using certified long-term keys and intermediate certification authorities. Currently learning about post-quantum secure identity-based encryption to extend this framework.

Advisor: Prof. Sarvanan Vijayakumaran

Developed R1CS circuits for SHA3-256, SHAKE128, and SHAKE256 hash functions using the Arkworks library in Rust. Designed a step function for these and integrated them into the Latticefold codebase to create folding based IVC proofs.

Advisor: Prof. Debayan Gupta

Enabled authentication of inputs using a transparent setup in private set intersection based on key agreements and achieved improved runtime and communication overhead as compared to the state of the art. Implemented the protocol using C++. Currently working on a stronger version of Authenticated-PSI in which both the Sender and Receiver are restricted to use the exact same input set in a privacy-preserving manner.

Advisor: Prof. Debayan Gupta

Engineered features for radio frequency fingerprinting. Adapted it with an autoencoder-based anomaly detection model for detecting replay attacks against remote keyless entry systems in automobiles and achieved improved recall and accuracy on a real car key fob dataset.

Advisor: Prof. Debayan Gupta

Studied the Controller Area Network (CAN) bus in automotive vehicles and all known attacks against it. Investigated synthetic data generation using LSTMs and GANs to counter the unavailability of reliable data for training CAN bus intrusion detection systems.